Integrity report for Bayesian online learning in the one-pass regime: Frequentist validity and uncertainty quantification

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2604.27442 · pith:2026:Q4AMPNU5KYXMJCSZ6TPV4I2BXS

0Critical

0Advisory

2Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 22:36:20.026917+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 19:15:21.381726+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/Q4AMPNU5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.